indranilbanerjee/page-seo-analysis
skills/page-seo-analysis/SKILL.md
Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness.
$ install --global
skillsauthnpx skillsauth add indranilbanerjee/digital-marketing-pro page-seo-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
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9
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Clean
TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: May 25, 2026, 2:17 AM81.1s1 file scanned
SKILL.md
- name:
- page-seo-analysis
- description:
- Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness.
- argument-hint:
- [URL]
- user-invocable:
- true
/digital-marketing-pro:page-seo-analysis
Purpose
Deep single-page SEO analysis — examines everything about one URL across all ranking dimensions. More granular than a site-wide audit. Use for landing page optimization, content refresh prioritization, or pre-publish quality checks.
Input Required
- URL: The specific page to analyze
- Target keyword: Primary keyword this page should rank for (optional — can be inferred)
- Competitors: 1-3 competitor pages targeting the same keyword (optional)
Process
- Load brand context: Read active brand profile. Load brand guidelines if available.
- Fetch and parse page: Retrieve full HTML, extract all signals.
- Title tag analysis: Character count (50-60 chars ideal), keyword placement, brand inclusion, uniqueness, click-worthiness.
- Meta description analysis: Character count (150-160 chars), keyword inclusion, CTA presence, uniqueness.
- Heading hierarchy: H1 presence and uniqueness, H2-H6 logical structure, keyword distribution across headings.
- Content depth analysis: Word count, reading level, topic coverage completeness, keyword density (target 1-2%), semantic keyword usage, content freshness (last modified date).
- E-E-A-T signals: Author byline and bio, credentials, first-hand experience indicators, citations and sources, about page link, contact information.
- Schema markup detection: JSON-LD, Microdata, RDFa — validate against Google's supported types, check for deprecations (HowTo deprecated Sept 2023, FAQ restricted to gov/health Aug 2023, SpecialAnnouncement deprecated July 2025), suggest missing schema opportunities.
- Image audit: Alt text, dimensions, format, lazy loading, fetchpriority on LCP image (see image-seo-audit skill for full methodology).
- Internal linking: Inbound links to this page, outbound links from this page, anchor text quality, orphan page check.
- Technical signals: Canonical tag, robots directives, mobile viewport, HTTPS, page speed indicators, Core Web Vitals.
- AI search readiness: Entity consistency, citation-worthiness, structured answer formatting, concise answer blocks for featured snippets.
- Competitor comparison (if provided): Side-by-side analysis of word count, schema, headings, E-E-A-T signals vs competitor pages.
Schema Deprecation Tracking
Always check and flag:
- HowTo: Deprecated (September 2023) — rich results removed
- FAQ: Restricted to government and health authority sites (August 2023)
- SpecialAnnouncement: Deprecated (July 2025)
- EnergyConsumptionDetails: Replaced by Certification schema (April 2025)
Output
Page SEO Score: XX/100
| Dimension | Score | Priority Issues | |-----------|-------|-----------------| | Title & Meta | /10 | ... | | Content Depth | /10 | ... | | E-E-A-T | /10 | ... | | Schema Markup | /10 | ... | | Images | /10 | ... | | Internal Links | /10 | ... | | Technical | /10 | ... | | AI Readiness | /10 | ... |
- Specific, actionable recommendations for each dimension
- Exact replacement title tags and meta descriptions (with character counts)
- Missing schema markup JSON-LD code (ready to implement)
- Content gaps vs competitors
- Quick wins vs strategic improvements
Agents Used
- seo-specialist — All page-level analysis, scoring, recommendations
Scripts Used
- tech-seo-auditor.py — Technical signal extraction
- content-scorer.py — Content quality scoring
- schema-generator.py — Generate missing schema markup
- competitor-scraper.py — Competitor page comparison
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